Run predictions from state-of-the-art machine learning models right from your browser. Use intuitive GUIs, no preprocessing or coding required! You can upload your own models here by creating a Gradio Premium account and uploading a GitHub repository.
NUBIA stands for "NeUral Based Interchangeability Assessor". NUBIA gives a score on a scale of 0 to 1 reflecting how much it thinks the candidate text is interchangeable with the reference text.
This model, RNA-GPS, is trained on APEX-seq data, which measures RNA localization within human HEK293T cells.
History of Image Interpretation
A model that explores interpretation of image classification
Identifying Skin Cancer
Predicts whether an image of skin is cancerous or not. This model is EXPERIMENTAL and should only be used for research purposes.
This is an interface implementation for "Object-Centric Learning with Slot Attention", trained on the CLVER dataset.
nussl (pronounced "nuzzle") is a flexible, object oriented Python audio source separation library created by the Interactive Audio Lab at Northwestern University
In this interface, the user inputs apical-4-chamber images from echocardiography videos and the model will output a prediction of the localization of the left ventricle in blue.
A demo of Noise2Same, an image denoising method developed by Yaochen Xie et al. and presented in NeurIPS 2020
Image Saliency Cropping
A model that crops an image to feature the most salient section of an image.
This Convolution Neural Network was trained on the Google QuickDraw dataset with 345 classes!
This is a demo of Background Matting V2. This model requires both a source image and a background image.
Surviving the Titanic
What is the probability that a passenger on the Titanic would survive the famous wreck?
A demo of dan: Unfolding the Alternating Optimization for Blind Super Resolution by Zhengxiong Luo et al. and presented in NeurIPS 2020.
This is a portrait image matting demo based on MODNet.